Triple
T5473744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride and Prejudice |
E122897
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mr. Bennet |
E248244
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mr. Bennet | Statement: [Pride and Prejudice, mainCharacter, Mr. Bennet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Bennet Context triple: [Pride and Prejudice, mainCharacter, Mr. Bennet]
-
A.
Mr Bennet
chosen
Mr Bennet is the witty, detached patriarch of the Bennet family in Jane Austen’s novel "Pride and Prejudice."
-
B.
Mr. Bingley
Mr. Bingley is a wealthy, amiable gentleman and close friend of Mr. Darcy who becomes Jane Bennet’s love interest in Jane Austen’s novel "Pride and Prejudice."
-
C.
Emma Woodhouse
Emma Woodhouse is the clever, wealthy, and somewhat meddlesome heroine of Jane Austen’s novel "Emma," known for her misguided attempts at matchmaking in her small English village.
-
D.
Mr. Collins
Mr. Collins is a pompous, obsequious clergyman and comic figure in Jane Austen's novel "Pride and Prejudice."
-
E.
Baron Bingley
Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9232ded08190b4142e604319b2ba |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48982b348190907c11424559cf76 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.